bioRxivGenomicsPreprint
Well-ST-seq: cost-effective spatial transcriptomics at cellular level and high RNA capture efficiency
Nianzuo Yu, Zhengyang Jin, Chongyang LiangiD, Junhu ZhangiD, Bai YangiD
Abstract
Spatial transcriptomic technologies are promising tools to reveal fine anatomical profiles of tissues. As for the methodologies based on barcoded probe arrays, improving the balance among probe barcoding complexity and cost, gene capture sensitivity, and spatial resolution can accelerate the spreading of spatial transcriptomic in basic science and clinical work. Here, based on miniaturized microfluidic and microarray technologies, we constructed a spatially cellular-level RNA-capture probe arrays. Owing to the predetermined and cost-effective probe fixation characteristics of the methodology, the consumable cost and fabrication time of the probe array can be reduced to $1.21/mm2 and approximately 2 hours, and the preparation process does not rely on large precision instruments. Moreover, the efficiency of the transcript captured by the probe array is even comparable to conventional single-cell RNA sequencing. Based on this technology, we achieved the spatial transcriptome expression mapping and gained insight into spatial cell heterogeneity of the mouse hippocampus.
- organism: mouse
- assay: spatial transcriptomics
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 2
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